DML,Hive Data Manipulation Language,数据操作语言;
通俗理解就是数据库里与数据的操作,如增删改查,统计汇总等;
Loading files into tables
把文件数据写入 table,load 操作不对数据做任何转换
LOAD DATA [LOCAL] INPATH 'filepath' [OVERWRITE] INTO TABLE tablename [PARTITION (partcol1=val1, partcol2=val2 ...)] LOAD DATA [LOCAL] INPATH 'filepath' [OVERWRITE] INTO TABLE tablename [PARTITION (partcol1=val1, partcol2=val2 ...)] [INPUTFORMAT 'inputformat' SERDE 'serde'] (3.0 or later)
比较好理解,这里只解释可选项:
local:本地文件,如果上传本地文件,需注明 local,默认是 hdfs;
overwrite:覆盖之前的数据,默认是 追加;
partition:分区表加载数据,这个参数指定 load 到哪个分区;
示例
load data local inpath '/usr/lib/hive2.3.6/2.csv' into table student_p partition(part=888);
Inserting data into Hive Tables from queries
把子查询结果写入 table
Standard syntax: INSERT OVERWRITE TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...) [IF NOT EXISTS]] select_statement1 FROM from_statement; INSERT INTO TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...)] select_statement1 FROM from_statement;
注意这里是标准语法,还有 扩展语法,参见官网
示例
insert into table student_p partition(part=986) select id, name, sexex, age, dept from student_p;
这里我把一个分区的数据加载到另一个分区,并没有 select *,因为 select * 的字段多一个 part/分区字段
多插入模式
把多个查询结果写入 table
from student_p insert into table student_p partition(part=984) select id, name, sexex, age, dept from student_p where part=888 insert into table student_p partition(part=983) select id, name, sexex, age, dept from student_p where part=888;
把子查询的 form 提取出来了;
把不同表查询出来的结果写入 table,没试过,自己可以试试
分区 DML 注意事项
1. load 和 insert 都会自动创建分区
2. 分区表 写入数据都会启动 mr
Writing data into the filesystem from queries
把子查询的结果写入文件系统
Standard syntax: INSERT OVERWRITE [LOCAL] DIRECTORY directory1 [ROW FORMAT row_format] [STORED AS file_format] (Note: Only available starting with Hive 0.11.0) SELECT ... FROM ... Hive extension (multiple inserts): FROM from_statement INSERT OVERWRITE [LOCAL] DIRECTORY directory1 select_statement1 [INSERT OVERWRITE [LOCAL] DIRECTORY directory2 select_statement2] ... row_format : DELIMITED [FIELDS TERMINATED BY char [ESCAPED BY char]] [COLLECTION ITEMS TERMINATED BY char] [MAP KEYS TERMINATED BY char] [LINES TERMINATED BY char] [NULL DEFINED AS char] (Note: Only available starting with Hive 0.13)
1. 只能是 overwrite
2. 只能存入路径,文件名自动生成
3. 存储的文件格式如果是 txt,写成 stored as textfile
示例
insert overwrite local directory '/usr/lib/hive2.3.6/3.txt' row format delimited fields terminated by ' ' stored as orc select * from student_p;
Inserting values into tables from SQL
像普通数据库一样写入数据
Standard Syntax: INSERT INTO TABLE tablename [PARTITION (partcol1[=val1], partcol2[=val2] ...)] VALUES values_row [, values_row ...] Where values_row is: ( value [, value ...] ) where a value is either null or any valid SQL literal
官网例子 - 分桶
// 分桶表,在创建表时,可以指定每个桶的大小,2 BUCKETS,代表如果 hadoop 默认 block 为 64M 的话,每个桶大小为 128M CREATE TABLE students (name VARCHAR(64), age INT, gpa DECIMAL(3, 2)) CLUSTERED BY (age) INTO 2 BUCKETS STORED AS ORC; INSERT INTO TABLE students VALUES ('fred flintstone', 35, 1.28), ('barney rubble', 32, 2.32); // 分区表+分桶表,注意,桶的大小是 block 的 偶数倍,即使指定 3 BUCKETS,会自动转换成 4 BUCKETS CREATE TABLE pageviews (userid VARCHAR(64), link STRING, came_from STRING) PARTITIONED BY (datestamp STRING) CLUSTERED BY (userid) INTO 256 BUCKETS STORED AS ORC; INSERT INTO TABLE pageviews PARTITION (datestamp = '2014-09-23') VALUES ('jsmith', 'mail.com', 'sports.com'), ('jdoe', 'mail.com', null); INSERT INTO TABLE pageviews PARTITION (datestamp) VALUES ('tjohnson', 'sports.com', 'finance.com', '2014-09-23'), ('tlee', 'finance.com', null, '2014-09-21'); INSERT INTO TABLE pageviews VALUES ('tjohnson', 'sports.com', 'finance.com', '2014-09-23'), ('tlee', 'finance.com', null, '2014-09-21');
Update
Updates can only be performed on tables that support ACID. See Hive Transactions for details.
UPDATE tablename SET column = value [, column = value ...] [WHERE expression]
不好用
Delete
Deletes can only be performed on tables that support ACID. See Hive Transactions for details.
DELETE FROM tablename [WHERE expression]
Merge
Merge can only be performed on tables that support ACID. See Hive Transactions for details.
Standard Syntax: MERGE INTO <target table> AS T USING <source expression/table> AS S ON <boolean expression1> WHEN MATCHED [AND <boolean expression2>] THEN UPDATE SET <set clause list> WHEN MATCHED [AND <boolean expression3>] THEN DELETE WHEN NOT MATCHED [AND <boolean expression4>] THEN INSERT VALUES<value list>
其他
As Select
在建表的同时加载子查询的结果
create table student3 as select id, name form student2;
location
在建表时通过 location 指定被加载的数据
create table student4(id int, name string) location '/usr/hive/student4';
具体怎么回事可以参考我的 DDL 介绍,不难理解
import
不常用,自己百度下吧
参考资料:
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML 官网